• DocumentCode
    245413
  • Title

    The novel falling detection method with G-sensors on waist

  • Author

    Shih-Chang Huang ; Li-Chang Chen ; Hsuan-Chia Chang ; Hong-Yi Chang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
  • fYear
    2014
  • fDate
    26-28 May 2014
  • Firstpage
    233
  • Lastpage
    234
  • Abstract
    Accidental falling is one of the health hazards for seniors. A well falling detection mechanism can help the caregivers to save the elders in time. Falling detection technique becomes a critical factor to improve the quality of home care. Generally, the acceleration of a human´s waist is smooth. Only the unstable state will generate acute acceleration. Therefore, in this paper, we installed the G-sensor on waist. We used the returned values of two installed G-sensors and the slopes of their signal measure vector to detect whether the tested man is falling or not in the sitting on the chair and standing cases. Our experimental results show that the falling can be detected when the slope of the signal measure vector rises steeply.
  • Keywords
    assisted living; handicapped aids; health hazards; medical signal detection; G-sensors; accidental falling; caregivers; elders; falling detection mechanism; gravitational sensor; health hazards; home care; human waist acceleration; seniors; signal measure vector slope; Acceleration; Accelerometers; Educational institutions; Electronic mail; Legged locomotion; Testing; Vectors; Falling Detection; Sitting; Standing; Waist G-sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/ICCE-TW.2014.6904075
  • Filename
    6904075